Saravanan Dayalan

1.7k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Saravanan Dayalan is a scholar working on Molecular Biology, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Saravanan Dayalan has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Saravanan Dayalan's work include Metabolomics and Mass Spectrometry Studies (11 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Aquaculture disease management and microbiota (3 papers). Saravanan Dayalan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Aquaculture disease management and microbiota (3 papers). Saravanan Dayalan collaborates with scholars based in Australia, United Kingdom and Germany. Saravanan Dayalan's co-authors include Konstantinos A. Kouremenos, Oliver A.H. Jones, David J. Beale, Komal Kanojia, Dedreia Tull, Vinod K. Narayana, Daniel A. Dias, Farhana R. Pinu, Mahesha M. Poojary and Berin A. Boughton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Saravanan Dayalan

25 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of recent developments in GC–MS approaches to metabolomics-based research

2018 356 citations David J. Beale, Farhana R. Pinu et al. Metabolomics profile →

Peers

Countries citing papers authored by Saravanan Dayalan

Since Specialization

Citations

This map shows the geographic impact of Saravanan Dayalan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Saravanan Dayalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saravanan Dayalan more than expected).

Fields of papers citing papers by Saravanan Dayalan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saravanan Dayalan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Saravanan Dayalan. The network helps show where Saravanan Dayalan may publish in the future.

Co-authorship network of co-authors of Saravanan Dayalan

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Dayalan. A scholar is included among the top collaborators of Saravanan Dayalan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saravanan Dayalan. Saravanan Dayalan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Dengue virus dominates lipid metabolism modulations in Wolbachia-coinfected Aedes aegypti 2020 ·Communications Biology ·Cassandra Koh, M. Nurul Islam, Yixin H. Ye, Nunya Chotiwan, Barbara Graham, John T. Belisle, Konstantinos A. Kouremenos, Saravanan Dayalan, Dedreia Tull, Stephan Klatt, Rushika Perera, Elizabeth A. McGraw	42
2	Modulation of acyl-carnitines, the broad mechanism behindWolbachia-mediated inhibition of medically important flaviviruses inAedes aegypti 2020 ·Proceedings of the National Academy of Sciences ·(unknown), Heather A. Flores, (unknown), Vinod K. Narayana, Komal Kanojia, Saravanan Dayalan, Dedreia Tull, Malcolm J. McConville, Jason M. Mackenzie, Cameron P. Simmons	36
3	Metabolomics Provide Sensitive Insights into the Impacts of Low Level Environmental Contamination on Fish Health—A Pilot Study 2020 ·Metabolites ·Sara M. Long, Dedreia Tull, David P. De Souza, Konstantinos A. Kouremenos, Saravanan Dayalan, Malcolm J. McConville, Kathryn L. Hassell, Vincent Pettigrove, Marthe Monique Gagnon	9
4	Using metabolomics to assess the sub-lethal effects of zinc and boscalid on an estuarine polychaete worm over time 2019 ·Metabolomics ·Georgia M. Sinclair, Allyson L. O’Brien, Michael J. Keough, David P. De Souza, Saravanan Dayalan, Komal Kanojia, Konstantinos A. Kouremenos, Dedreia Tull, Rhys A. Coleman, Oliver A.H. Jones, Sara M. Long	16
5	Metabolite Changes in an Estuarine Annelid Following Sublethal Exposure to a Mixture of Zinc and Boscalid 2019 ·Metabolites ·Georgia M. Sinclair, Allyson L. O’Brien, Michael J. Keough, David P. De Souza, Saravanan Dayalan, Komal Kanojia, Konstantinos A. Kouremenos, Dedreia Tull, Rhys A. Coleman, Oliver A.H. Jones, Sara M. Long	15
6	A combined metabolomic and bioinformatic approach to investigate the function of transport proteins of the important pathogen Mycoplasma bovis 2019 ·Veterinary Microbiology ·(unknown), Brunda Nijagal, (unknown), (unknown), Saravanan Dayalan, Kelly A. Tivendale, Philip F. Markham, Glenn F. Browning, Fiona M. Sansom	14
7	Review of recent developments in GC–MS approaches to metabolomics-based research breakdown → 2018 ·Metabolomics ·David J. Beale, Farhana R. Pinu, Konstantinos A. Kouremenos, Mahesha M. Poojary, Vinod K. Narayana, Berin A. Boughton, Komal Kanojia, Saravanan Dayalan, Oliver A.H. Jones, Daniel A. Dias	356
8	Metabolite profiling of Mycoplasma gallisepticum mutants, combined with bioinformatic analysis, can reveal the likely functions of virulence-associated genes 2018 ·Veterinary Microbiology ·(unknown), Brunda Nijagal, (unknown), Saravanan Dayalan, Kelly A. Tivendale, Philip F. Markham, Glenn F. Browning, Fiona M. Sansom	12
9	Synergy between the KEAP1/NRF2 and PI3K Pathways Drives Non-Small-Cell Lung Cancer with an Altered Immune Microenvironment 2018 ·Cell Metabolism ·Sarah A. Best, David P. De Souza, Ariena Kersbergen, Antonia N. Policheni, Saravanan Dayalan, Dedreia Tull, Vivek Rathi, Daniel H.D. Gray, Matthew E. Ritchie, Malcolm J. McConville, (unknown)	151
10	PO-210 Synergy between the KEAP1/NRF2 and PI3K pathways drives non-small cell lung cancer with an altered metabolism 2018 ·ESMO Open ·Sarah A. Best, David P. De Souza, Ariena Kersbergen, Saravanan Dayalan, Dedreia Tull, Antonia N. Policheni, Daniel H.D. Gray, Matthew E. Ritchie, Malcolm J. McConville, (unknown)	1
11	Comparative Metabolomics of Mycoplasma bovis and Mycoplasma gallisepticum Reveals Fundamental Differences in Active Metabolic Pathways and Suggests Novel Gene Annotations 2017 ·mSystems ·(unknown), David P. De Souza, Saravanan Dayalan, (unknown), Sean O’Callaghan, Konstantinos A. Kouremenos, Brunda Nijagal, Dedreia Tull, Kelly A. Tivendale, P. F. Markham, M.J. McConville, Glenn F. Browning, Fiona M. Sansom	29
12	MASTR-MS: a web-based collaborative laboratory information management system (LIMS) for metabolomics 2016 ·Metabolomics ·Adam Hunter, Saravanan Dayalan, David P. De Souza, (unknown), (unknown), Tamás Szabó, Thu Nguyen, Sean O’Callaghan, (unknown), James Pyke, Amsha Nahid, Roberto A. Barrero, Ute Roessner, Vladimir A. Likić, Dedreia Tull, Antony Bacic, Malcolm J. McConville, M. Bellgard	11
13	Lipidomic Profiling of Adipose Tissue Reveals an Inflammatory Signature in Cancer-Related and Primary Lymphedema 2016 ·PLoS ONE ·Lisa M. Sedger, Dedreia Tull, Malcolm J. McConville, David P. De Souza, Thusitha Rupasinghe, Spencer J. Williams, Saravanan Dayalan, (unknown), Helen Mackie, Thomas Lam, John Boyages	38
14	A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research 2016 ·International Journal of Molecular Sciences ·David J. Beale, Oliver A.H. Jones, Avinash V. Karpe, Saravanan Dayalan, Ding Yuan Oh, Konstantinos A. Kouremenos, Warish Ahmed, Enzo A. Palombo	68
15	A multi-platform metabolomics approach demonstrates changes in energy metabolism and the transsulfuration pathway in Chironomus tepperi following exposure to zinc 2015 ·Aquatic Toxicology ·Sara M. Long, Dedreia Tull, Katherine J. Jeppe, David P. De Souza, Saravanan Dayalan, Vincent Pettigrove, Malcolm J. McConville, Ary A. Hoffmann	32
16	Data standards can boost metabolomics research, and if there is a will, there is a way 2015 ·Metabolomics ·Philippe Rocca‐Serra, Reza M. Salek, Masanori Arita, Elon Correa, Saravanan Dayalan, Alejandra González-Beltrán, Timothy M. D. Ebbels, Royston Goodacre, Janna Hastings, Kenneth Haug, Albert Koulman, Macha Nikolski, Matej Orešič, Susanna‐Assunta Sansone, Daniel Schober, James M. Smith, Christoph Steinbeck, Mark R. Viant, Steffen Neumann	106
17	Data standards can boost metabolomics research 2015 ·Philippe Rocca‐Serra, Reza M. Salek, Masanori Arita, Elon Correa, Saravanan Dayalan, Alejandra González-Beltrán, Timothy M. D. Ebbels, Royston Goodacre, Janna Hastings, Kenneth Haug, Albert Koulman, Macha Nikolski, Matej Orešič, Susanna‐Assunta Sansone, Daniel Schober, James M. Smith, Christoph Steinbeck, Mark R. Viant, (unknown)	2
18	Dihedral angle and secondary structure database of short amino acid fragments 2006 ·Bioinformation ·Saravanan Dayalan, (unknown), Savitri Bevinakoppa, Heiko Schröder	15
19	Homology based structure extractor for protein structure prediction 2005 ·RMIT Research Repository (RMIT University Library) ·Saravanan Dayalan, Savitri Bevinakoppa, (unknown)	1
20	A dihedral angle database of short sub-sequences for protein structure prediction 2004 ·RMIT Research Repository (RMIT University Library) ·Saravanan Dayalan, Savitri Bevinakoppa, Heiko Schröder	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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